Stationarity and Autocorrelation

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Destrezas que aprenderás

Dimensionality Reduction, Unsupervised Learning, Cluster Analysis, Time Series, K Means Clustering

Reseñas

4.5 (104 calificaciones)

  • 5 stars
    72,11 %
  • 4 stars
    15,38 %
  • 3 stars
    6,73 %
  • 2 stars
    3,84 %
  • 1 star
    1,92 %

GS

15 de may. de 2021

It is a good course to build foundation on the modeling of timerseries data. It will be good to add other lessons for anomaly detection on timeseries.

A

26 de nov. de 2021

Clearly explaind. I am currently working on time series forecasting and predictions. This course helped me a lot about the details of the topics.

De la lección

Stationarity and Time Series Smoothing

Impartido por:

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    Mark J Grover

    Digital Content Delivery Lead

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    Miguel Maldonado

    Machine Learning Curriculum Developer

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